{"id":"https://openalex.org/W1516359365","doi":"https://doi.org/10.21437/eurospeech.2003-341","title":"Large margin methods for label sequence learning","display_name":"Large margin methods for label sequence learning","publication_year":2003,"publication_date":"2003-09-01","ids":{"openalex":"https://openalex.org/W1516359365","doi":"https://doi.org/10.21437/eurospeech.2003-341","mag":"1516359365"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2003-341","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085471281","display_name":"Yasemin Alt\u00fcn","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112925","display_name":"Max Planck Institute for Biological Cybernetics","ror":"https://ror.org/026nmvv73","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]},{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"funder","lineage":["https://openalex.org/I149899117"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yasemin Altun","raw_affiliation_strings":["Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society"],"affiliations":[{"raw_affiliation_string":"Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society","institution_ids":["https://openalex.org/I4210112925","https://openalex.org/I149899117"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045413165","display_name":"Thomas Hofmann","orcid":"https://orcid.org/0000-0003-4057-7165"},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"funder","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210112925","display_name":"Max Planck Institute for Biological Cybernetics","ror":"https://ror.org/026nmvv73","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Hofmann","raw_affiliation_strings":["Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society"],"affiliations":[{"raw_affiliation_string":"Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society","institution_ids":["https://openalex.org/I4210112925","https://openalex.org/I149899117"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085471281"],"corresponding_institution_ids":["https://openalex.org/I149899117","https://openalex.org/I4210112925"],"apc_list":null,"apc_paid":null,"fwci":3.7437,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.93040812,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"993","last_page":"996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6955165863037109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6685327291488647},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5830770134925842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5210837125778198},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31565916538238525}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6955165863037109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6685327291488647},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5830770134925842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5210837125778198},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31565916538238525},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.21437/eurospeech.2003-341","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.8.4391","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.4391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.brown.edu/people/th/papers/AltunHofmann-EuroSpeech2003.pdf","raw_type":"text"},{"id":"pmh:oai:pure.mpg.de:item_1792349","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0013-DBB7-1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"8th European Conference on Speech Communication and Technology (EUROSPEECH 2003)","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.mpg.de:item_1792645","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0013-DE10-1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2169610","https://openalex.org/W1510793943","https://openalex.org/W1553458173","https://openalex.org/W1592796124","https://openalex.org/W2008652694","https://openalex.org/W2024046085","https://openalex.org/W2032210760","https://openalex.org/W2089933214","https://openalex.org/W2114521167","https://openalex.org/W2147880316","https://openalex.org/W2156515921","https://openalex.org/W2157791002","https://openalex.org/W2162186970"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Label":[0],"sequence":[1,10,18],"learning":[2],"is":[3,45],"the":[4,16,27,60,69,79],"problem":[5],"of":[6,26,36,62],"inferring":[7],"a":[8,21],"state":[9,17],"from":[11],"an":[12,34],"observation":[13],"sequence,":[14],"where":[15],"may":[19],"encode":[20],"labeling,":[22],"annotation":[23],"or":[24],"segmentation":[25],"sequence.":[28],"In":[29],"this":[30,41],"paper":[31],"we":[32],"give":[33],"overview":[35],"discriminative":[37],"methods":[38,50,82],"developed":[39],"for":[40],"problem.":[42],"Special":[43],"emphasis":[44],"put":[46],"on":[47],"large":[48],"margin":[49],"by":[51],"generalizing":[52],"multiclass":[53],"Support":[54],"Vector":[55],"Machines":[56],"and":[57,78],"AdaBoost":[58],"to":[59],"case":[61],"label":[63],"sequences.":[64],"An":[65],"experimental":[66],"evaluation":[67],"demonstrates":[68],"advantages":[70],"over":[71],"classical":[72],"approaches":[73],"like":[74,83],"Hidden":[75],"Markov":[76],"Models":[77],"competitiveness":[80],"with":[81],"Conditional":[84],"Random":[85],"Fields.":[86]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
